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Port multi-service congestion

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  • Talley, Wayne K.
  • Ng, ManWo

Abstract

Port multi-service congestion occurs when port users of two or more different services (i.e., multi-services) provided at the same port node or over the same port link interfere with one another to the extent that they experience service congestion at the shared node or over the shared link. Container port nodes shared in the provision of port multi-services include, for example, the berth and yard. Container port links shared in the provision of port multi-services include, for example, the yard-to-departure-gate link, entrance-gate-to-yard link, berth-to-yard link and yard-to-berth link. If port multi-service congestion exists at a port node (or over a port link), then port multi-service congestion can be propagated to other port nodes and links in the port as long as there is a connecting path.

Suggested Citation

  • Talley, Wayne K. & Ng, ManWo, 2016. "Port multi-service congestion," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 94(C), pages 66-70.
    • Handle: RePEc:eee:transe:v:94:y:2016:i:c:p:66-70
    DOI: 10.1016/j.tre.2016.07.005
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    References listed on IDEAS

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    6. Jin, Jian Gang & Lee, Der-Horng & Hu, Hao, 2015. "Tactical berth and yard template design at container transshipment terminals: A column generation based approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 73(C), pages 168-184.
    7. Talley, Wayne K. & Ng, ManWo, 2016. "Port economic cost functions: A service perspective," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 88(C), pages 1-10.
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    Cited by:

    1. Feng, Yuanjun & Song, Dong-Ping & Li, Dong & Zeng, Qingcheng, 2020. "The stochastic container relocation problem with flexible service policies," Transportation Research Part B: Methodological, Elsevier, vol. 141(C), pages 116-163.
    2. Talley, Wayne K. & Ng, ManWo, 2023. "Shipper economic demand function for cargo port services: A note," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 170(C).
    3. Kang, Liujiang & Meng, Qiang & Tan, Kok Choon, 2020. "Tugboat scheduling under ship arrival and tugging process time uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 144(C).
    4. Talley, Wayne K. & Ng, ManWo, 2022. "Cargo port choice equilibrium: The case of shipping lines and cargo port service providers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).
    5. César Ducruet & Hidekazu Itoh, 2022. "Spatial network analysis of container port operations: the case of ship turnaround times," EconomiX Working Papers 2022-15, University of Paris Nanterre, EconomiX.
    6. Tawfik, M. & Tonnellier, X. & Sansom, C., 2018. "Light source selection for a solar simulator for thermal applications: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 802-813.
    7. Li, Junjun & Yu, Anqi & Xu, Bowei, 2022. "Risk propagation and evolution analysis of multi-level handlings at automated terminals based on double-layer dynamic network model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 605(C).
    8. César Ducruet & Hidekazu Itoh, 2022. "Spatial Network Analysis of Container Port Operations: The Case of Ship Turnaround Times," Networks and Spatial Economics, Springer, vol. 22(4), pages 883-902, December.

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